Large Language Models and Prompt Engineering by Mohammad Amin Kuhail, Mohammad Tubishat, Sarah Kohail, Maha Hadid

This book provides a structured and accessible introduction to the theory, design, and real-world use of large language models (LLMs). As generative AI systems become embedded across industries, this book offers readers a balanced perspective that combines technical foundations with practical guidance and critical reflection.

Beginning with the fundamentals of LLMs and prompt engineering, this book progressively explores advanced prompting techniques, application and interaction frameworks, and the underlying architectures that power modern language models. Dedicated chapters examine how LLMs are being applied in high-impact domains such as healthcare, customer support, and education, highlighting design principles, implementation considerations, and illustrative case studies. The book also addresses model fine-tuning, evaluation methods, and the ethical, social, and regulatory challenges associated with deploying LLMs at scale.

This book supports readers in:

· Understanding prompt engineering strategies and application frameworks

· Gaining insight into contemporary LLM architecture and capabilities

· Designing and evaluating LLM-based systems across real-world domains

· Considering ethics, safety, and human-centered aspects of LLM deployment

This book is a practical, accessible resource for those seeking to work thoughtfully and responsibly with LLMs in both academic and applied settings.